Collaborative networking with optimized information quality assessment
AssigneeInternational Business Machines Corporation
InventorsParijat Dube, Rahul Jain, Milind R. Naphade
Life of this patent
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Abstract
A method for implementing information quality assessment includes receiving a value relating to a predicted outcome of an event from each of an entity and at least one other entity and a reputation score for the entity and the other entity. The method also includes generating a collective prediction value for the event that reflects a collective prediction for the event. The collective prediction value is generated from predicted outcome values from the entity and the other entity. The collective prediction value is calculated as a function of reputation scores corresponding to the entity and the other entity.
Claims18
A method for implementing information quality assessment, comprising:
- receiving, at a computer, a value relating to a predicted outcome of an event from each of an entity and at least one other entity;
- receiving, at the computer, a reputation score for each of the entity and the at least one other entity;
- generating, at the computer, a collective prediction value for the event that reflects a collective prediction for the event, the collective prediction value generated from predicted outcome values for the entity and the at least one other entity, the collective prediction value calculated as a function of reputation scores corresponding to the entity and the at least one other entity;
- comparing, at the computer, the value relating to the predicted outcome for each of the entity and the at least one other entity with a value specifying an actual outcome for the event;
- determining, at the computer, a prediction error value for each of the entity and the at least one other entity in response to the comparing, the prediction error value reflecting a difference between the value of the predicted outcome and the value of the actual outcome;
- and
- using the prediction error value, updating, at the computer, the reputation score for the entity and the at least one other entity, the reputation score representing a measure of the accuracy of the predicted outcome of the event.
A computer program product for use by an information quality assessment program for implementing information quality assessment optimization, the computer program product comprising:
- a non-transitory storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising:
- receiving a value relating to a predicted outcome of an event from each of an entity and at least one other entity;
- receiving a reputation score for each of the entity and the at least one other entity;
- generating a collective prediction value for the event that reflects a collective prediction for the event, the collective prediction value generated from predicted outcome values from the entity and the at least one other entity, the collective prediction value calculated as a function of reputation scores corresponding to the entity and the at least one other entity;
- comparing the value relating to the predicted outcome for each of the entity and the at least one other entity with a value specifying an actual outcome for the event;
- determining a prediction error value for each of the entity and the at least one other entity in response to the comparing, the prediction error value reflecting a difference between the value of the predicted outcome and the value of the actual outcome;
- and
- using the prediction error value, updating the reputation score for the entity and the at least one other entity, the reputation score representing a measure of the accuracy of the predicted outcome of the event.
A system for implementing information quality assessment optimization, the system comprising:
- a computer;
- and
- an information quality assessment application executable by the computer, the information quality assessment application capable of performing a method comprising:
- receiving a value relating to a predicted outcome of an event from each of an entity and at least one other entity;
- receiving a reputation score for each of the entity and the at least one other entity;
- generating a collective prediction value for the event that reflects a collective prediction for the event, the collective prediction value generated from predicted outcome values from the entity and the at least one other entity, the collective prediction value calculated as a function of reputation scores corresponding to the entity and the at least one other entity;
- comparing the value relating to the predicted outcome for each of the entity and the at least one other entity with a value specifying an actual outcome for the event;
- determining a prediction error value for each of the entity and the at least one other entity in response to the comparing, the prediction error value reflecting a difference between the value of the predicted outcome and the value of the actual outcome;
- and
- using the prediction error value, updating the reputation score for the entity and the at least one other entity, the reputation score representing a measure of the accuracy of the predicted outcome of the event.
Dependencies are inferred from the claim text.